Machine Learning Engineer

MissionWired | On-site| Remote| Remote Possible | Permanent

Date Posted

08/17/22

Job Role

Engineer

Organization Type

Campaign or Committee, Foundations, Government, Issue Advocacy, Nonprofit

Location

On-site, Remote, Remote Possible, Multiple Locations

District of Columbia (DC)

Salary Range

$81,000-$100,000 | $101,000-$120,000 | $121,000+

How to Apply

Machine Learning Engineer

MissionWired | On-site| Remote| Remote Possible | Permanent

Position Summary

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we’re excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a Machine Learning Engineer to join us in bringing machine learning to online fundraising through our AdvantageAI product. With us, you’ll put your skills to use for disruptive innovation that powers social good.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to using the power of data to support important causes.
Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Designing robust and scalable processes for end-to-end management of machine learning pipelines;
Supporting product development initiatives;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Locating flaws and vulnerabilities in our applications and software, fixing inconsistencies, and testing newly developed systems;
Writing robust code to enhance machine learning capabilities;
Appraising the ideation around new machine-learning models;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Using an array of technological languages and tools to connect systems;

Must-have qualifications:

Experience with Python or R data tools;
Experience with data engineering and deploying machine learning models;
Experience identifying patterns in complex data sets;
Hands-on experience with big data tools using AWS or other cloud services;

Nice-to-have qualifications:

1-3 years of professional experience in designing and implementing data solutions to business problems;
Experience with MLOps platforms like MLFlow, Sagemanger, and or Google Cloud AI
Working knowledge of Pandas and/or PySpark;
Experience working with cross-functional teams to support their operational and engineering needs.
Salary range for this role is $85,000 to $135,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!

Date Posted

08/17/22

Job Role

Engineer

Location

On-site, Remote, Remote Possible, Multiple Locations

Salary

How to Apply

Position Summary

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we’re excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a Machine Learning Engineer to join us in bringing machine learning to online fundraising through our AdvantageAI product. With us, you’ll put your skills to use for disruptive innovation that powers social good.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to using the power of data to support important causes.
Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Designing robust and scalable processes for end-to-end management of machine learning pipelines;
Supporting product development initiatives;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Locating flaws and vulnerabilities in our applications and software, fixing inconsistencies, and testing newly developed systems;
Writing robust code to enhance machine learning capabilities;
Appraising the ideation around new machine-learning models;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Using an array of technological languages and tools to connect systems;

Must-have qualifications:

Experience with Python or R data tools;
Experience with data engineering and deploying machine learning models;
Experience identifying patterns in complex data sets;
Hands-on experience with big data tools using AWS or other cloud services;

Nice-to-have qualifications:

1-3 years of professional experience in designing and implementing data solutions to business problems;
Experience with MLOps platforms like MLFlow, Sagemanger, and or Google Cloud AI
Working knowledge of Pandas and/or PySpark;
Experience working with cross-functional teams to support their operational and engineering needs.
Salary range for this role is $85,000 to $135,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!

Date Posted

08/17/22

Job Role

Engineer

Location

On-site, Remote, Remote Possible, Multiple Locations

Salary

How to Apply

Machine Learning Engineer

MissionWired | On-site, Remote, Remote Possible, Multiple Locations | Permanent

Position Summary

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we’re excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a Machine Learning Engineer to join us in bringing machine learning to online fundraising through our AdvantageAI product. With us, you’ll put your skills to use for disruptive innovation that powers social good.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to using the power of data to support important causes.
Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Designing robust and scalable processes for end-to-end management of machine learning pipelines;
Supporting product development initiatives;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Locating flaws and vulnerabilities in our applications and software, fixing inconsistencies, and testing newly developed systems;
Writing robust code to enhance machine learning capabilities;
Appraising the ideation around new machine-learning models;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Using an array of technological languages and tools to connect systems;

Must-have qualifications:

Experience with Python or R data tools;
Experience with data engineering and deploying machine learning models;
Experience identifying patterns in complex data sets;
Hands-on experience with big data tools using AWS or other cloud services;

Nice-to-have qualifications:

1-3 years of professional experience in designing and implementing data solutions to business problems;
Experience with MLOps platforms like MLFlow, Sagemanger, and or Google Cloud AI
Working knowledge of Pandas and/or PySpark;
Experience working with cross-functional teams to support their operational and engineering needs.
Salary range for this role is $85,000 to $135,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!

Date Posted

08/17/22

Job Role

Engineer

Location

On-site, Remote, Remote Possible, Multiple Locations

Salary

How to Apply

Machine Learning Engineer

MissionWired | On-site, Remote, Remote Possible, Multiple Locations | Permanent

Position Summary

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we’re excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a Machine Learning Engineer to join us in bringing machine learning to online fundraising through our AdvantageAI product. With us, you’ll put your skills to use for disruptive innovation that powers social good.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.
Machine Learning: We are committed to using the power of data to support important causes.
Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Designing robust and scalable processes for end-to-end management of machine learning pipelines;
Supporting product development initiatives;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Locating flaws and vulnerabilities in our applications and software, fixing inconsistencies, and testing newly developed systems;
Writing robust code to enhance machine learning capabilities;
Appraising the ideation around new machine-learning models;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Using an array of technological languages and tools to connect systems;

Must-have qualifications:

Experience with Python or R data tools;
Experience with data engineering and deploying machine learning models;
Experience identifying patterns in complex data sets;
Hands-on experience with big data tools using AWS or other cloud services;

Nice-to-have qualifications:

1-3 years of professional experience in designing and implementing data solutions to business problems;
Experience with MLOps platforms like MLFlow, Sagemanger, and or Google Cloud AI
Working knowledge of Pandas and/or PySpark;
Experience working with cross-functional teams to support their operational and engineering needs.
Salary range for this role is $85,000 to $135,000 per year, depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!

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